or apply directly on Tebra's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Tebra's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- No 0% of Tebra's roles list one
- Ghost-job risk at Tebra
- high 25 stale, 1 reposted of 25 open
- Hiring momentum
- 35 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Tebra's own greenhouse board since 2026-08-03. Full hiring picture for Tebra.
About this role
The Staff Software Engineer in AI Engineering will lead the design and development of AI-native capabilities for Tebra's billing and revenue cycle platform. This role involves hands-on implementation of AI systems, collaborating with cross-functional teams to create scalable software solutions, and ensuring the integration of AI into backend services to enhance operational efficiency. The engineer will also mentor junior developers and participate in Agile development processes.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tebra as an employer.
What you need
- 8+ years of professional software engineering experience building scalable distributed systems
- Absolute mastery of Java, Spring Boot, and Python for developing secure, high-throughput, cloud-native backend systems
- 2–3+ years of hands-on experience designing, shipping, and maintaining production AI-enabled or AI-native applications
- Practical experience with orchestration frameworks (e.g., LangChain, LangGraph) and understanding of RAG, tool calling, prompt engineering
- Strong background in distributed systems, event-driven architectures, and messaging platforms (e.g., Kafka)
- Proven experience implementing enterprise AI guardrails, including real-time observability and automated evaluation pipelines
Nice to have
- Experience building autonomous, multi-step agentic systems utilizing multi-tier memory networks
- Prior background in Healthcare IT, Revenue Cycle Management (RCM), or similarly regulated environments
- Hands-on experience with vector databases, semantic search architectures, and enterprise knowledge graph construction
- Exposure to PyTorch, Hugging Face Transformers, custom embedding models, fine-tuning methodologies
What you get
- Variable pay opportunity
- Robust benefits package including healthcare
- Discount through Dell for work from home basics
- Resources for mental health and fitness, including Gympass and Telus Employee Assistance Program
Worth weighing
- No specific salary details provided beyond the range for Zone 1
- The role requires significant experience in AI and cloud technologies, which may limit applicants without such backgrounds
- The position emphasizes technical leadership and mentorship, which may not suit all candidates
Summarised from Tebra's posting. Read the full original.
Listed by Tebra on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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